Compare · ModelsLive · 2 picked · head to head
Gemini 2.0 Flash vs GPT-5 Nano
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5 Nano wins on 11/12 benchmarks
GPT-5 Nano wins 11 of 12 shared benchmarks. Leads in reasoning · knowledge · math.
Category leads
reasoning·GPT-5 Nanoknowledge·GPT-5 Nanomath·GPT-5 Nanolanguage·GPT-5 Nanocoding·GPT-5 Nano
Hype vs Reality
Attention vs performance
Gemini 2.0 Flash
#101 by perf·no signal
GPT-5 Nano
#114 by perf·no signal
Best value
GPT-5 Nano
1.0x better value than Gemini 2.0 Flash
Gemini 2.0 Flash
192.0 pts/$
$0.25/M
GPT-5 Nano
201.3 pts/$
$0.23/M
Vendor risk
Who is behind the model
Google DeepMind
$4.00T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
12 benchmarks · 2 models
Gemini 2.0 FlashGPT-5 Nano
ARC-AGI-2
GPT-5 Nano leads by +1.3
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Gemini 2.0 Flash
1.3
GPT-5 Nano
2.6
Fiction.LiveBench
Gemini 2.0 Flash leads by +16.7
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
Gemini 2.0 Flash
61.1
GPT-5 Nano
44.4
FrontierMath-2025-02-28-Private
GPT-5 Nano leads by +6.6
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Gemini 2.0 Flash
1.7
GPT-5 Nano
8.3
GPQA diamond
GPT-5 Nano leads by +7.1
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 2.0 Flash
52.2
GPT-5 Nano
59.3
HELM · GPQA
GPT-5 Nano leads by +12.3
Gemini 2.0 Flash
55.6
GPT-5 Nano
67.9
HELM · IFEval
GPT-5 Nano leads by +9.1
Gemini 2.0 Flash
84.1
GPT-5 Nano
93.2
HELM · MMLU-Pro
GPT-5 Nano leads by +4.1
Gemini 2.0 Flash
73.7
GPT-5 Nano
77.8
HELM · Omni-MATH
GPT-5 Nano leads by +8.8
Gemini 2.0 Flash
45.9
GPT-5 Nano
54.7
HELM · WildBench
GPT-5 Nano leads by +0.6
Gemini 2.0 Flash
80.0
GPT-5 Nano
80.6
MATH level 5
GPT-5 Nano leads by +13.1
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
Gemini 2.0 Flash
82.2
GPT-5 Nano
95.2
OTIS Mock AIME 2024-2025
GPT-5 Nano leads by +50.1
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 2.0 Flash
31.0
GPT-5 Nano
81.1
WeirdML
GPT-5 Nano leads by +12.3
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 2.0 Flash
25.8
GPT-5 Nano
38.1
Full benchmark table
| Benchmark | Gemini 2.0 Flash | GPT-5 Nano |
|---|---|---|
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 1.3 | 2.6 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 61.1 | 44.4 |
FrontierMath-2025-02-28-Private FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning. | 1.7 | 8.3 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 52.2 | 59.3 |
HELM · GPQA | 55.6 | 67.9 |
HELM · IFEval | 84.1 | 93.2 |
HELM · MMLU-Pro | 73.7 | 77.8 |
HELM · Omni-MATH | 45.9 | 54.7 |
HELM · WildBench | 80.0 | 80.6 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 82.2 | 95.2 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 31.0 | 81.1 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 25.8 | 38.1 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.10 | $0.40 | 1.0M tokens (~500 books) | $1.75 | |
| $0.05 | $0.40 | 400K tokens (~200 books) | $1.38 |
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